$Projective synchronization of fractional-order memristor-based neural networks$

Projective synchronization of fractional-order memristor-based neural networks

This paper investigates the projective synchronization of fractional-order memristor-based neural networks. Sufficient conditions are derived in the sense of Caputo’s fractional derivation and by combining a fractional-order differential inequality. Two numerical examples are given to show the effec...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Neural networks 2015-03, Vol.63, p.1-9
Hauptverfasser:	Bao, Hai-Bo, Cao, Jin-De
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Derivation Filippov’s solution Fractional-order Inequalities Information Storage and Retrieval - methods Mathematical models Memristor-based neural networks Neural networks Neural Networks (Computer) Projective synchronization Synchronism Synchronization
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	This paper investigates the projective synchronization of fractional-order memristor-based neural networks. Sufficient conditions are derived in the sense of Caputo’s fractional derivation and by combining a fractional-order differential inequality. Two numerical examples are given to show the effectiveness of the main results. The results in this paper extend and improve some previous works on the synchronization of fractional-order neural networks.
ISSN:	0893-6080 1879-2782
DOI:	10.1016/j.neunet.2014.10.007